
"The AI system identified the correct or nearly correct diagnosis in 67% of cases, compared to 50% to 55% percent for doctors."
"When more detailed patient data was available, the AI's accuracy increased to 82%, while the doctors' accuracy ranged from 70% to 79%."
"In a test using clinical cases, the AI achieved 89% accuracy, while doctors using traditional tools such as search engines reached 34%."
A study from Harvard Medical School reveals that AI can surpass doctors in emergency care triage assessments. In initial evaluations, AI achieved a correct diagnosis in 67% of cases, while doctors' accuracy ranged from 50% to 55%. With more detailed patient data, AI's accuracy rose to 82%, compared to 70% to 79% for doctors. Additionally, in developing treatment plans, AI reached 89% accuracy, significantly outperforming doctors who achieved only 34% using traditional search tools.
Read at Computerworld
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